Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 499 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0629. Min Act: -0.0004

Data Index: 1489970 (Python Code)

Max Activating Token Index: 934

Text #1

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Max Act: 0.0691. Min Act: -0.0003

Data Index: 1497844 (Python Code)

Max Activating Token Index: 786

Text #2

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Max Act: 0.0642. Min Act: -0.0003

Data Index: 1474071 (Python Code)

Max Activating Token Index: 666

Text #3

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Max Act: 0.0615. Min Act: -0.0003

Data Index: 1580743 (Python Code)

Max Activating Token Index: 421

Text #4

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Max Act: 0.0603. Min Act: -0.0003

Data Index: 1450749 (Python Code)

Max Activating Token Index: 535

Text #5

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Data Index: 1368147 (Python Code)

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Text #6

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Data Index: 1536734 (Python Code)

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Text #7

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Data Index: 1390059 (Python Code)

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Text #8

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Data Index: 1381674 (Python Code)

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Text #9

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Data Index: 1370581 (Python Code)

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Text #10

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Data Index: 1369165 (Python Code)

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Data Index: 1626582 (Python Code)

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Text #12

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Data Index: 1578893 (Python Code)

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Text #13

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Data Index: 1630156 (Python Code)

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Text #14

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Data Index: 1406036 (Python Code)

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Text #15

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Data Index: 1643852 (Python Code)

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Text #16

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Data Index: 1636835 (Python Code)

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Text #17

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Data Index: 1653045 (Python Code)

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Text #18

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Data Index: 1601880 (Python Code)

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Text #19

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Data Index: 1483440 (Python Code)

Max Activating Token Index: 943